This set of Yarn MCQ questions covers advanced concepts of Hadoop YARN Architecture, including Timeline Server, schedulers, resource preemption, high availability, node labeling, security, and operational mechanics of YARN. Useful for UGC NET, University Semester Exams, and Big Data Technology preparation.
Topic: Big Data (YARN Architecture) | Set: 2
Difficulty: Medium to Hard | Total Questions: 15
YARN MCQs with Answers
Q1. What is the purpose of the “Timeline Server” in YARN?
A. To sync node clocks
B. To store and retrieve application-specific historical data and metrics
C. To manage security credentials
D. To cache HDFS blocks
View Answer & Explanation
Answer: B
Explanation: The Timeline Server stores historical application data, metrics, and metadata for monitoring and analysis.
Q2. What is “Resource Preemption”?
A. Shutting down the cluster
B. Reclaiming resources from low-priority tasks for high-priority tasks
C. Deleting old logs
D. Pausing the ResourceManager
View Answer & Explanation
Answer: B
Explanation: Resource preemption allows the scheduler to reclaim resources from lower-priority applications.
Q3. Which component tracks the status of all NodeManagers?
A. ApplicationMaster
B. ResourceManager (ResourceTrackerService)
C. DistributedFileSystem
D. ZooKeeper
View Answer & Explanation
Answer: B
Explanation: ResourceTrackerService inside the ResourceManager processes heartbeats and tracks NodeManager status.
Q4. What is a “Rack-Aware” allocation in YARN?
A. Placing containers near data to minimize network latency
B. Avoiding rack usage
C. Using only one rack
D. Placing nodes in different data centers
View Answer & Explanation
Answer: A
Explanation: Rack-aware scheduling improves data locality by placing computation near the stored data.
Q5. What happens to a Container if the NodeManager crashes?
A. It continues running
B. It is marked lost and rescheduled
C. It automatically migrates
D. It is saved in the NameNode
View Answer & Explanation
Answer: B
Explanation: Containers running on a failed NodeManager are lost, and the ApplicationMaster requests new containers.
Q6. Which file is used to configure YARN-specific properties?
A. hdfs-site.xml
B. core-site.xml
C. yarn-site.xml
D. mapred-site.xml
View Answer & Explanation
Answer: C
Explanation: yarn-site.xml stores YARN configuration settings.
Q7. What is the FairScheduler?
A. A scheduler that gives users equal resources over time
B. A scheduler for first users only
C. A scheduler blocking new jobs
D. A deprecated scheduler
View Answer & Explanation
Answer: A
Explanation: FairScheduler dynamically shares cluster resources fairly among active applications.
Q8. How does the CapacityScheduler support multi-tenancy?
A. By creating separate clusters
B. By partitioning resources into queues with guaranteed capacity
C. By limiting users to one node
D. By using different YARN versions
View Answer & Explanation
Answer: B
Explanation: CapacityScheduler uses queues to reserve guaranteed cluster resources for organizations or users.
Q9. What is the difference between “Memory-Local” and “Data-Local” scheduling?
A. Data-local scheduling places tasks near HDFS data
B. Memory-local scheduling uses the same rack
C. No difference exists
D. Memory-local is only for small files
View Answer & Explanation
Answer: A
Explanation: Data-local scheduling minimizes network overhead by executing tasks near the actual HDFS data blocks.
Q10. What is “Node Labeling” in YARN?
A. Naming nodes
B. Partitioning nodes into groups for specific workloads
C. Sorting nodes by speed
D. Identifying nodes by IP address
View Answer & Explanation
Answer: B
Explanation: Node labels allow administrators to dedicate specialized nodes for specific applications.
Q11. What is a “Container Exit Status”?
A. A log file
B. A code indicating why a container finished
C. A user command
D. Container identifier
View Answer & Explanation
Answer: B
Explanation: Exit status indicates whether a container completed successfully, failed, or was preempted.
Q12. What is the role of the Client in YARN?
A. Monitoring the cluster
B. Submitting applications and interacting with the ResourceManager
C. Storing final output
D. Restarting the ResourceManager
View Answer & Explanation
Answer: B
Explanation: The Client submits applications and tracks execution progress through YARN.
Q13. How does YARN handle security?
A. It ignores security
B. Through Kerberos authentication
C. Only by firewalls
D. By encrypting the entire cluster
View Answer & Explanation
Answer: B
Explanation: YARN uses Kerberos authentication to secure communications between cluster components.
Q14. Can YARN run in High Availability (HA) mode?
A. No
B. Yes, using Active/Standby ResourceManagers
C. Only in cloud environments
D. Only with one NodeManager
View Answer & Explanation
Answer: B
Explanation: YARN HA uses multiple ResourceManagers to ensure cluster availability during failures.
Q15. What does the “yarn top” command do?
A. Shuts down the cluster
B. Displays real-time cluster resource usage
C. Lists all users
D. Deletes logs
View Answer & Explanation
Answer: B
Explanation: yarn top provides a live monitoring interface similar to Linux top for cluster resource utilization.
Conclusion
These YARN MCQ questions covered advanced operational concepts such as Timeline Server, FairScheduler, CapacityScheduler, resource preemption, node labeling, security, and high availability in Hadoop YARN.
Practicing these questions is useful for Big Data Technology, Hadoop architecture, GATE CS, UGC NET, and university semester examinations.
For better understanding of concepts and theory, refer to Hadoop Yarn Documentation.